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Video-based head movement compensation for novel haploscopic eye-tracking apparatus
Kristina Irsch1, Nicholas A Ramey, Anton Kurz
1Krieger Children's Eye Center at The Wilmer Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287-9028, USA. kirsch1@jhmi.edu
Investigative Ophthalmology & Visual Science
|November 4, 2008
Summary
This study presents a video-based head-tracking method to eliminate head movement artifacts in eye-tracking. The technique effectively compensates for torsional, horizontal, and vertical movements during video-oculography.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Neuroscience
Background:
- Accurate eye movement recording is crucial for understanding visual perception and neurological disorders.
- Head movements introduce significant artifacts in video-oculography, complicating data analysis.
- Existing methods for head movement compensation may be insufficient for precise measurements.
Purpose of the Study:
- To introduce and validate a novel video-based head-tracking technique.
- To compensate for torsional, horizontal, and vertical in-plane head movements.
- To improve the accuracy of pupil/iris-tracking video-oculography with a tilting haploscope.
Main Methods:
- Developed custom software for image acquisition and off-line analysis.
- Tracked adhesive dots near the inner canthi using Hough transform for feature detection.
- Rotated and translated video frames to remove head movement effects from eye movement data.
- Verified the technique with a model head and healthy subjects, including head tilting.
Main Results:
- Model head validation showed a perfect linear correlation (R=1.00) between true and measured positions.
- Human subject recordings demonstrated essential elimination of head movement artifacts.
- The head-tracker performed effectively during 45-degree head tilting.
Conclusions:
- Video-based tracking of inner canthi dots is an effective compensation method.
- This technique successfully corrects for multiple planes of head motion.
- Enhances the reliability of pupil and iris-based video-oculography.
